Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/2318
標題: 麥克風陣列在刀具磨耗偵測之應用研究
Study Of Microphone Array For The Micro-Tool Wear Monitoring
作者: 黃集豐
Huang, Chi-Feng
關鍵字: tool monitoring;刀具偵測;beamforming;sound field;波束成型法;聲場模擬
出版社: 機械工程學系所
引用: [1] Kurada S ., Bradley C .,1997,“A Review Of Machine Vision Sensors For Tool Condition Monitoring,” Computers in Industry ,v 34, n 1, pp. 55-72 [2] Byrne G.., Dornfeld D., Inasaki I ., Ketteler G ., König W .and Teti R .,1995“Too Condition Monitoring (TCM) - The Status of Research and Industrial Application,” CIRP Annals - Manufacturing Technology, V 44, Issue 2, pp.541-567 [3] Delio T ., Tlusty J ., Smith S . , 1992,“Use of Audio Signals for Chatter Detection and Control,” Journal of engineering for industry, vol. 114, no2, pp. 146-157 [4] Weller,E. J.,Schrier, H. M., and Weichbrodt, B.,1969,“What Sound Can Be Expected From A Worn Tool?,”Trans. ASME, J. Engng for Industry, 91(3), pp.525-534. [5] Sadat, A. B. and Raman, S.,1987 ,“Detection of Tool Flank Wear Using Acoustic Signature Analysis,”Wear , 115(3), pp.265–272. [6] Anderson, D., 1988, ‘‘Method for Monitoring Cutting Tool Wear During a Machining Operation,’’ The Boeing Company, USA, USP. 04744242. [7] Trabelsi, H. and Kannatey-Asibu, Jr, E., 1991, “Patternrecognition Analysis of Sound Radiation In Metal Cutting,”Int. J. Adv. Mfg Technol., v6, pp.220–231. [8] Kopac, J. and Sali, S., 2001, “Tool Wear Monitoring During The Turning Process,” J. Mater. Process. Technol. ,113(1–3), pp.312–316. [9] Lu, M. C. and Kannatey-Asibu, Jr, E. ,2000 ,“AnalysisOf Sound Characteristics Associated with Adhesive Wear In Machining,” Trans. NAMRI, v28, pp. 257–262. [10] Lu, M. C. and Kannatey-Asibu, Jr, E. ,2004,“Flank Wear And Process characteristic effect on system dynamics in turning,”Trans. ASME J. Mfg Sci. Engng,v 126(1), pp.131–140. [11] F. J. Alonso and D .R .Salgado,2005,“Application of singular spectrum analysis to tool wear detection using sound signals,”Proceedings of the Institution of Mechanical Engineers、Part B: Journal of Engineering Manufacture,v219, pp.703-710. [12] Dedieu, S.; Moquin, P.and Goubran, R.; 2005, “Sound Measurement in Noisy Environment Using Optimized Conformal Microphone Arrays,” Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE, Vol.1, pp.748 – 751. [13] M. Inoue, S. Nakamura, T. Yamada, and K. Shikano, “Microphone Array Design Measures for Hands-Free Speech Recognition,” in Proceedings of European Conference on Speech Communication and Technology (EUROSPEECH), 1997, pp. 331–334. [14] D. Giuliani, M. Matassoni, M. Omologo, and P. Svaizer, “Use of Different Microphone Array Configurations for Hands-Free Speech Recognition in Noisy and Reverberant Environment,” in Proceedings of European Conference on Speech Communication and Technology (EUROSPEECH), 1997, pp. 347–350. [15] R. Aubauer, R. Kern, and D. Leckschat, “Optimized Second Order Gradient Microphone for Hands-Free Speech Recordings in Cars,” in Proceeding of Workshop on Robust Methods for Speech Recognition in Adverse Conditions, 1999, pp. 191–194. [16] J. Bitzer, K.U. Simmer, and K.D. Kammeyer, “Multi- Microphone Noise Reduction Techniques for Hands-Free Speech Recognition—A Comparative Study,” in Proceeding of Workshop on Robust Methods for Speech Recognition in Adverse Conditions, 1999, pp. 171–174. [17] Nordebo, S.; Nordholm, S.; Bengtsson, B.; Claesson, I., 1993, “Noise reduction using an adaptive microphone array in a car-a speech recognition evaluation,” Applications of Signal Processing to Audio and Acoustics, Final Program and Paper Summaries.,IEEE Workshop on , vol., no., pp.16-18. [18] Z. Qi ;T. J. Moir,2007,“Automotive 3-Microphone Noise Canceller in a Frequently Moving Noise Source Environment,” International Journal of Signal Processing, vol.3 pp.298-304. [19] R. Martin and P. Vary, 1994 ,“Combined acoustic echo cancellation, dereverberation, and noise reduction: A two microphone approach,” Ann. Télécomm. Vol.49 (7–8) , pp. 429–438. [20] 陳益正,簡仁宗,“應用強健時間延遲與訊號子空間方法於麥克風陣列語音加強”,國立成功大學,民國96年 [21] F. Jabloun and B. Champagne, 2001, “A Multi-Microphone Signal Subspace Approach for Speech Enhancement,” Proceeding of IEEE international conference on Acoustic, Speech, and Signal Processing (ICASSP), Vol.1. pp. 205-208 [22] Kurita, S.; Saruwatari, H.; Kajita, S.; Takeda, K.; Itakura, F.,2000 ,"Evaluation of blind signal separation method using directivity pattern under reverberant conditions," Acoustics, Speech, and Signal Processing, 2000. ICASSP ''00. Proceedings. 2000 IEEE International Conference on , vol.5, pp.3140-3143 [23] 賴建端、簡仁宗,“結合麥克風陣列及模型調整技術之遠距離語音辨識系統”,國立成功大學,民國89年。 [24] Kazunori Kobayashi, 2006, “A microphone array system with echo canceller,” Electronics and Communications in Japan (Part III: Fundamental Electronic Science), vol.89, no.10 [25] D. Mahmoudi, 1997, “A Microphone Array for Speech Enhancement Using Multiresolution Wavelet Transform,” in Proc. of Eurospeech97, pp. 339-342, [26] Guillaume, M.; Grenier, Y., May 2006, "Sound Field Analysis with a Two-Dimensional Microphone Array," Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on , vol.5, pp. 14-19 [27] 楊吉文、王小川,“以麥克風陣列與語音預估做語音增強之研究”,國立清華大學,民國95年。 [28] J.J. Christensen and J. Hald, 2004,“Technical Review: Beamforming,” Brüel&Kjær ,No. 1 [29] Hamid Krim ; Mats Viberg ,1996,“two decades of array signal processing research ,” IEEE SIGAL PROCESSING MAGAZINE,pp.67-93 [30] Barry D. Van Veen and Kevin M. Buckley, 1988, “ Beamforming: A Versatile Approach to Spatial Filtering,” IEEE ASSP Magaz., pp. 4-24 [31] Saeed V. Vaseghi,1996,”Advanced Signal Processing and Digital Noise Reduction,” John Wiley&Sons and B.G Teubner Publishers [32] Don H.Johnson and Dan E Dudgeon,1993,”Array Signal processing :concepts and techiques,” P T R Prentice Hall,Englewood Cliffs [33] Tirupathi R.Chandrupatila and Ashok D. Belegundu ,2002,”Introduction to finite elements inengineering,” Prentice Hall ,Inc. [34] Saeed Moaveni,2003,“FINITE ELEMENT ANALYSIS,” Pearson Education, Inc. [35] 邱銘杰、張英俊、葉隆吉、藍天雄,2006,“噪音控制技術與原理”,碩博文化股份有限公司
摘要: 
微細加工中的微細刀具容易磨耗,造成加工精度變差,使得刀具狀態偵測系統的開發更為重要。由於經驗豐富之技師常能從聲音訊號得知狀態;因此藉由聲音訊號進行刀具狀態偵測是一個可以被期待的方法,但其經常受到背景噪音嚴重的干擾造成此系統在實際應用中還有許多困難;為了降低背景噪音對系統之影響,本研究藉著麥克風陣列與偉納濾波器(Wiener filter)之整合,發展能去除背景噪音之聲音擷取系統。首先以comsol軟體模擬微銑削過程中聲場的分布,探討不同位置麥克風受回音干擾之程度決定麥克風擺放位置,在訊號處理方面以麥克風陣列整合偉納濾波器降低刀具狀態偵測系統中背景噪音訊號,並且與偉納濾波處理結果及未整合偉納濾波之陣列系統作比對。於噪音降低方面,訊號頻率分布在5kHz以下及8~10kHz區間之麥克風陣列與偉納濾波整合系統,其降噪處理效果優於單一麥克風WF處理結果,且單一麥克風WF處理優於DASB陣列處理。麥克風陣列與偉納濾波整合系統與DASB陣列之訊號處理在13~14kHz的降噪效果相同,而WF無法有效的將干擾訊號去除,仍有高達約0.2能量單位的干擾。

An experienced technician can usually identify the cutting condition by hearing the sound generated during the cutting. Therefore, the audible sound single was expected to be used in monitoring the tool condition system. However, the background noise from environment always contaminates the signal obtained by microphone system and reduces the chance for it applied stably in industry. In order reduce the noise effect and improve the system performance, a microphone array integrated with Wiener filter was designed and implemented to verify its performance. Before collecting the date, the sound field was analyzed by COMSOL to identify the better installation location for microphone. The experimental results show that the microphone array integrated with Wiener filter provides a better solution than signal microphone integrated with Wiener filter for reducing the broadband background noise. By the way, the Wiener filter also improves the performance of microphone array in noise reduction.
URI: http://hdl.handle.net/11455/2318
其他識別: U0005-2008200915050400
Appears in Collections:機械工程學系所

Show full item record
 

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.